# enrichment

> Use this tool when you need to enhance and expand existing data or code repositories, leveraging git capabilities to solve problems related to data scarcity or code duplication. It takes in raw data or code as input and outputs enriched, refined, and organized content. Ideal for use cases where additional context or functionality is required to improve overall quality and usability.

Canonical page: https://skillsregistry.net/skills/leadfuze-enrichment  
JSON: https://api.skillsregistry.net/v1/skills/leadfuze-enrichment

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/leadfuze/enrichment)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "leadfuze-enrichment"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leadfuze-enrichment` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leadfuze-enrichment/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt